Triple
T17597206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhoushan City |
E428603
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Putuo District |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Putuo District | Statement: [Zhoushan City, hasDistrict, Putuo District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putuo District Context triple: [Zhoushan City, hasDistrict, Putuo District]
-
A.
Putuo District
Putuo District is an urban district in the northwest of central Shanghai, known for its dense residential neighborhoods, commercial centers, and convenient transportation links.
-
B.
Binhu District
Binhu District is an urban district of Wuxi in Jiangsu Province, China, known for its lakeside scenery along Taihu Lake and its role as a key residential and economic area of the city.
-
C.
Tongshan District
Tongshan District is an administrative district of the city of Xuzhou in Jiangsu Province, China, known for its mix of urban development and surrounding rural areas.
-
D.
Dajia District
Dajia District is a coastal district in Taichung, Taiwan, known for its traditional industries and as a major center of Mazu worship and pilgrimage.
-
E.
Yunxi District
Yunxi District is an urban administrative district of Yueyang City in Hunan Province, China, known for its location along the Yangtze River and Dongting Lake region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Putuo District Target entity description: Putuo District is a coastal urban district of Zhoushan City in Zhejiang Province, China, known for its island scenery and maritime economy.
-
A.
Putuo District
Putuo District is an urban district in the northwest of central Shanghai, known for its dense residential neighborhoods, commercial centers, and convenient transportation links.
-
B.
Binhu District
Binhu District is an urban district of Wuxi in Jiangsu Province, China, known for its lakeside scenery along Taihu Lake and its role as a key residential and economic area of the city.
-
C.
Tongshan District
Tongshan District is an administrative district of the city of Xuzhou in Jiangsu Province, China, known for its mix of urban development and surrounding rural areas.
-
D.
Dajia District
Dajia District is a coastal district in Taichung, Taiwan, known for its traditional industries and as a major center of Mazu worship and pilgrimage.
-
E.
Yunxi District
Yunxi District is an urban administrative district of Yueyang City in Hunan Province, China, known for its location along the Yangtze River and Dongting Lake region.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ecfb108190a9e7a5b380f8ab93 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.